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Conference Papers Year : 2006

A New Closed-Form Information Metric for Shape Analysis


Recently, a unifying framework was introduced for shape matching that uses mixture-models and the Fisher-Rao metric to couple both the shape representation and deformation. A fundamental drawback of the Fisher-Rao metric is that it is NOT available in closed-form for the mixture models making shape comparisons computationally very expensive. Here, we propose a new Riemannian metric based on generalized Á- entropy measures. In sharp contrast to the Fisher-Rao metric, our new metric is available in closed-form.


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inria-00635898 , version 1 (26-10-2011)


  • HAL Id : inria-00635898 , version 1


Adrian Peter, Anand Rangarajan. A New Closed-Form Information Metric for Shape Analysis. 1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Oct 2006, Copenhagen, Denmark. pp.100-101. ⟨inria-00635898⟩


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